Unveiling the Hidden Truth: How Employees are Really Using AI in the Workplace

This article examines recent research on how employees are using artificial intelligence and machine learning technologies in innovative ways that go beyond their employers' directives. It explores three main categories of worker-driven AI use: performance augmentation, informal collaboration, and counterproductive uses. The article provides illuminating case studies from the financial services and manufacturing sectors, showing how worker-driven AI can boost productivity and efficiency when properly guided, but also introduces risks if left unchecked. The article concludes by recommending that organizations establish experimentation zones, idea competitions, AI skills training, and governance systems to foster a culture of responsible, collaborative innovation at the human-AI interface. By empowering employees as partners in advancing AI, companies can continuously optimize the impact of their technology investments to better address real-world challenges.

Authors

Publication Details

Journal
Human capital leadership.
Published
2025-03-01
DOI
https://doi.org/10.70175/hclreview.2020.18.4.7
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
0.00
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article

Unveiling the Hidden Truth: How Employees are Really Using AI in the Workplace

Jonathan Westover
Human capital leadership.
Impact of AI and Big Data on Business and Society
article

Unveiling the Hidden Truth: How Employees are Really Using AI in the Workplace

Jonathan Westover
article en

Abstract

This article examines recent research on how employees are using artificial intelligence and machine learning technologies in innovative ways that go beyond their employers' directives. It explores three main categories of worker-driven AI use: performance augmentation, informal collaboration, and counterproductive uses. The article provides illuminating case studies from the financial services and manufacturing sectors, showing how worker-driven AI can boost productivity and efficiency when properly guided, but also introduces risks if left unchecked. The article concludes by recommending that organizations establish experimentation zones, idea competitions, AI skills training, and governance systems to foster a culture of responsible, collaborative innovation at the human-AI interface. By empowering employees as partners in advancing AI, companies can continuously optimize the impact of their technology investments to better address real-world challenges.

Human capital leadership.Vol. 18(4)
Openalex Percentile: Top 95%
Impact of AI and Big Data on Business and Society
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